```json { "scores": [ { "id": "cnv_9f4476caccf04d3f", "score": 25, "tier": "not_useful", "rationale": "Non-answer; deflects with generic readiness statement instead of listing columns." }, { "id": "cnv_ec496f9b7f9f419f", "score": 85, "tier": "great", "rationale": "Concrete row/column counts, year-by-year breakdown, time period. Essential orientation with specifics." }, { "id": "cnv_4b3899cdf2f74ea6", "score": 75, "tier": "regular", "rationale": "Clear explanation of dataset scope and row structure; medium confidence, no result table shown." }, { "id": "cnv_46860f978a1040f2", "score": 70, "tier": "regular", "rationale": "Good sample with named countries and concrete metrics; shows data shape but limited analytical depth." }, { "id": "cnv_31a61219b428425d", "score": 20, "tier": "not_useful", "rationale": "Non-answer; generic readiness statement instead of column classification." }, { "id": "cnv_7a072f89d7064e44", "score": 80, "tier": "great", "rationale": "Specific finding: 1 missing value in Perceptions of Corruption (0.64%). Actionable data quality insight." }, { "id": "cnv_b2fb6b22277941a3", "score": 75, "tier": "regular", "rationale": "Confirms zero duplicates with year-by-year counts. Solid data quality validation, not surprising." }, { "id": "cnv_1cbd5ebc6f7147cf", "score": 70, "tier": "regular", "rationale": "Distinct value counts per year for categorical columns; useful reference but routine profiling." }, { "id": "cnv_7af19a92a299485d", "score": 15, "tier": "not_useful", "rationale": "Non-answer; generic readiness statement instead of distribution statistics." }, { "id": "cnv_c8ab5808bf944f93", "score": 82, "tier": "great", "rationale": "Identifies normalized zero values as misleading; explains data quality quirks with concrete examples." }, { "id": "cnv_57bc41e2e4b64b8b", "score": 78, "tier": "regular", "rationale": "Regional frequency breakdown with specific counts; useful segmentation insight, well-evidenced." }, { "id": "cnv_3327b080d8af49ff", "score": 88, "tier": "great", "rationale": "Strong correlations with exact numbers (0.835, 0.794, 0.780); reveals key drivers of happiness." }, { "id": "cnv_0fae06d1bcf84dd8", "score": 80, "tier": "great", "rationale": "Identifies Happiness Score as primary metric, shows regional variation with concrete averages (7.29, 7.27)." }, { "id": "cnv_5e912c0abfa443dd", "score": 18, "tier": "not_useful", "rationale": "Non-answer; generic readiness statement instead of highest/lowest records." }, { "id": "cnv_73c49a2c0c3a4ece", "score": 76, "tier": "regular", "rationale": "Identifies multiple segmentation approaches (region, year, development); well-structured but exploratory." }, { "id": "cnv_186dd88c0e5d420a", "score": 72, "tier": "regular", "rationale": "Geographic distribution across 10 regions with specific counts; clear but expected finding." }, { "id": "cnv_7e20c4eba480428c", "score": 12, "tier": "not_useful", "rationale": "Non-answer; generic readiness statement instead of suggesting analytical questions." }, { "id": "cnv_d8f2fa0c3b9f4286", "score": 92, "tier": "great", "rationale": "Counterintuitive finding: Myanmar #1 in generosity despite low happiness/GDP. Surprising, actionable, specific." } ] } ```